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“Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability,” a Presentation from Avnet

Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low […]

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“Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs,” a Presentation from Arm

Stephen Su, Senior Product Manager at Arm, presents the “Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs” tutorial at the May 2023 Embedded Vision Summit. As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their

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“Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator,” a Presentation from Analog Devices

Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural

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“Five Things You Might Overlook on Your Next Vision-enabled Product Design,” a Presentation from BDTI

Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Five Things You Might Overlook on Your Next Vision-enabled Product Design” tutorial at the May 2023 Embedded Vision Summit. When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it

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“Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies,” a Presentation from Qualcomm

Judd Heape, VP of Product Management for Camera, Computer Vision and Video Technology at Qualcomm Technologies, presents the “Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices

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“Accelerating Newer ML Models Using the Qualcomm AI Stack,” a Presentation from Qualcomm

Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm Technologies, presents the “Accelerating Newer ML Models Using the Qualcomm AI Stack” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm AI Stack revolutionizes how Qualcomm thinks about AI software and provides the ultimate tool and user interface to enable ecosystem partners

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“Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse,” A Presentation from Edge Impulse

Amir Sherman, Global Semiconductor Business Development Director at Edge Impulse, presents the “Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse” tutorial at the May 2023 Embedded Vision Summit. Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it

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NVIDIA Sets the Pace for the AI Era

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Record breaking results announced by NVIDIA have fuelled speculation of an AI goldrush. Days later, the company introduced platforms for generative AI at Computex 2023. Yole Group and its entities, Yole SystemPlus

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“Visual Anomaly Detection with FOMO-AD,” a Presentation from Edge Impulse

Jan Jongboom, Co-Founder and CTO of Edge Impulse, presents the “Visual Anomaly Detection with FOMO-AD” tutorial at the May 2023 Embedded Vision Summit. Virtually all computer vision machine learning models involve classification—for example, “how many humans are in the frame?” To train such a model, you need examples of every class of object the model

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“State-of-the-art Model Quantization and Optimization for Efficient Edge AI,” a Presentation from DEEPX

Hyunjin Kim, Senior Staff Engineer at DEEPX, presents the “State-of-the-art Model Quantization and Optimization for Efficient Edge AI” tutorial at the May 2023 Embedded Vision Summit. Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, Kim explains and demonstrates how DEEPX’s DXNN SDK

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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